Developing generative AI solutions
Defining a Use Case
Defining the use case sets the path for everything else: it names the problem, gathers requirements, and aligns stakeholders. Teams analyze the problem, consult subject matter experts, and translate business needs into technical specifications.
A business use case is a structured narrative of how a system should behave from a stakeholder's point of view. It starts with a brief description of its purpose.
Metrics for generative AI use cases
- Cost savings: lower labor costs and more efficient processes
- Time savings: less time per task
- Quality improvement: accuracy, coherence, and creativity of the output
- Customer satisfaction: satisfaction scores, net promoter score (NPS), sentiment
- Productivity gains: output volume, error rates, task completion time
Ways generative AI addresses business problems
- Process automation of repetitive tasks
- Augmented decision-making with insights and recommendations
- Personalization and customization for customers
- Creative content generation for marketing, entertainment, and education
- Exploratory analysis and innovation to find new ideas